XIYAO1005 commited on
Commit
96f1f30
1 Parent(s): ad42bef

End of training

Browse files
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ eval_nbest_predictions.json filter=lfs diff=lfs merge=lfs -text
README.md CHANGED
@@ -3,6 +3,8 @@ license: mit
3
  base_model: microsoft/deberta-v3-small
4
  tags:
5
  - generated_from_trainer
 
 
6
  model-index:
7
  - name: dev3-small001
8
  results: []
@@ -13,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
13
 
14
  # dev3-small001
15
 
16
- This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on an unknown dataset.
17
 
18
  ## Model description
19
 
 
3
  base_model: microsoft/deberta-v3-small
4
  tags:
5
  - generated_from_trainer
6
+ datasets:
7
+ - squad_v2
8
  model-index:
9
  - name: dev3-small001
10
  results: []
 
15
 
16
  # dev3-small001
17
 
18
+ This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on the squad_v2 dataset.
19
 
20
  ## Model description
21
 
all_results.json ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "eval_HasAns_exact": 78.91363022941971,
4
+ "eval_HasAns_f1": 85.40887436879491,
5
+ "eval_HasAns_total": 5928,
6
+ "eval_NoAns_exact": 78.25063078216989,
7
+ "eval_NoAns_f1": 78.25063078216989,
8
+ "eval_NoAns_total": 5945,
9
+ "eval_best_exact": 78.5816558578287,
10
+ "eval_best_exact_thresh": 0.0,
11
+ "eval_best_f1": 81.82462791697236,
12
+ "eval_best_f1_thresh": 0.0,
13
+ "eval_exact": 78.5816558578287,
14
+ "eval_f1": 81.8246279169725,
15
+ "eval_runtime": 125.9304,
16
+ "eval_samples": 12101,
17
+ "eval_samples_per_second": 96.093,
18
+ "eval_steps_per_second": 12.015,
19
+ "eval_total": 11873,
20
+ "train_loss": 0.7326071534426255,
21
+ "train_runtime": 12303.0667,
22
+ "train_samples": 131467,
23
+ "train_samples_per_second": 32.057,
24
+ "train_steps_per_second": 2.004
25
+ }
eval_nbest_predictions.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7f6215564475cd9319dfe19922dddd1ed6b7dd45c6c847e76052805c7caaf25a
3
+ size 52995567
eval_null_odds.json ADDED
The diff for this file is too large to render. See raw diff
 
eval_predictions.json ADDED
The diff for this file is too large to render. See raw diff
 
eval_results.json ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "eval_HasAns_exact": 78.91363022941971,
4
+ "eval_HasAns_f1": 85.40887436879491,
5
+ "eval_HasAns_total": 5928,
6
+ "eval_NoAns_exact": 78.25063078216989,
7
+ "eval_NoAns_f1": 78.25063078216989,
8
+ "eval_NoAns_total": 5945,
9
+ "eval_best_exact": 78.5816558578287,
10
+ "eval_best_exact_thresh": 0.0,
11
+ "eval_best_f1": 81.82462791697236,
12
+ "eval_best_f1_thresh": 0.0,
13
+ "eval_exact": 78.5816558578287,
14
+ "eval_f1": 81.8246279169725,
15
+ "eval_runtime": 125.9304,
16
+ "eval_samples": 12101,
17
+ "eval_samples_per_second": 96.093,
18
+ "eval_steps_per_second": 12.015,
19
+ "eval_total": 11873
20
+ }
runs/Mar29_15-10-41_2f750ed0406a/events.out.tfevents.1711737683.2f750ed0406a.122.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7a7ac4e43ce3809435076e8da9e40000a7c837b27b2c1657e1b817a9f0cdda92
3
+ size 1023
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "train_loss": 0.7326071534426255,
4
+ "train_runtime": 12303.0667,
5
+ "train_samples": 131467,
6
+ "train_samples_per_second": 32.057,
7
+ "train_steps_per_second": 2.004
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,373 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 3.0,
5
+ "eval_steps": 500,
6
+ "global_step": 24651,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.06,
13
+ "grad_norm": 19.664987564086914,
14
+ "learning_rate": 2.939515638310819e-05,
15
+ "loss": 2.1242,
16
+ "step": 500
17
+ },
18
+ {
19
+ "epoch": 0.12,
20
+ "grad_norm": 15.668974876403809,
21
+ "learning_rate": 2.8786661798709992e-05,
22
+ "loss": 1.3535,
23
+ "step": 1000
24
+ },
25
+ {
26
+ "epoch": 0.18,
27
+ "grad_norm": 19.882505416870117,
28
+ "learning_rate": 2.817816721431179e-05,
29
+ "loss": 1.22,
30
+ "step": 1500
31
+ },
32
+ {
33
+ "epoch": 0.24,
34
+ "grad_norm": 10.92320442199707,
35
+ "learning_rate": 2.7569672629913596e-05,
36
+ "loss": 1.1381,
37
+ "step": 2000
38
+ },
39
+ {
40
+ "epoch": 0.3,
41
+ "grad_norm": 10.699568748474121,
42
+ "learning_rate": 2.6961178045515395e-05,
43
+ "loss": 1.0921,
44
+ "step": 2500
45
+ },
46
+ {
47
+ "epoch": 0.37,
48
+ "grad_norm": 12.03032112121582,
49
+ "learning_rate": 2.6352683461117197e-05,
50
+ "loss": 1.0828,
51
+ "step": 3000
52
+ },
53
+ {
54
+ "epoch": 0.43,
55
+ "grad_norm": 13.232436180114746,
56
+ "learning_rate": 2.5744188876719e-05,
57
+ "loss": 1.0373,
58
+ "step": 3500
59
+ },
60
+ {
61
+ "epoch": 0.49,
62
+ "grad_norm": 14.177654266357422,
63
+ "learning_rate": 2.5135694292320798e-05,
64
+ "loss": 0.9764,
65
+ "step": 4000
66
+ },
67
+ {
68
+ "epoch": 0.55,
69
+ "grad_norm": 21.473983764648438,
70
+ "learning_rate": 2.4528416697091396e-05,
71
+ "loss": 0.9691,
72
+ "step": 4500
73
+ },
74
+ {
75
+ "epoch": 0.61,
76
+ "grad_norm": 14.361074447631836,
77
+ "learning_rate": 2.3919922112693198e-05,
78
+ "loss": 0.9319,
79
+ "step": 5000
80
+ },
81
+ {
82
+ "epoch": 0.67,
83
+ "grad_norm": 14.396862983703613,
84
+ "learning_rate": 2.3311427528294997e-05,
85
+ "loss": 0.9323,
86
+ "step": 5500
87
+ },
88
+ {
89
+ "epoch": 0.73,
90
+ "grad_norm": 15.474726676940918,
91
+ "learning_rate": 2.2702932943896803e-05,
92
+ "loss": 0.8969,
93
+ "step": 6000
94
+ },
95
+ {
96
+ "epoch": 0.79,
97
+ "grad_norm": 10.854999542236328,
98
+ "learning_rate": 2.2095655348667397e-05,
99
+ "loss": 0.905,
100
+ "step": 6500
101
+ },
102
+ {
103
+ "epoch": 0.85,
104
+ "grad_norm": 7.904343128204346,
105
+ "learning_rate": 2.14871607642692e-05,
106
+ "loss": 0.9025,
107
+ "step": 7000
108
+ },
109
+ {
110
+ "epoch": 0.91,
111
+ "grad_norm": 7.447906970977783,
112
+ "learning_rate": 2.0878666179871e-05,
113
+ "loss": 0.8784,
114
+ "step": 7500
115
+ },
116
+ {
117
+ "epoch": 0.97,
118
+ "grad_norm": 15.822772979736328,
119
+ "learning_rate": 2.02701715954728e-05,
120
+ "loss": 0.8754,
121
+ "step": 8000
122
+ },
123
+ {
124
+ "epoch": 1.03,
125
+ "grad_norm": 13.860732078552246,
126
+ "learning_rate": 1.9662894000243398e-05,
127
+ "loss": 0.758,
128
+ "step": 8500
129
+ },
130
+ {
131
+ "epoch": 1.1,
132
+ "grad_norm": 9.411458015441895,
133
+ "learning_rate": 1.9054399415845197e-05,
134
+ "loss": 0.6682,
135
+ "step": 9000
136
+ },
137
+ {
138
+ "epoch": 1.16,
139
+ "grad_norm": 12.759841918945312,
140
+ "learning_rate": 1.8445904831447e-05,
141
+ "loss": 0.6745,
142
+ "step": 9500
143
+ },
144
+ {
145
+ "epoch": 1.22,
146
+ "grad_norm": 12.465913772583008,
147
+ "learning_rate": 1.7837410247048804e-05,
148
+ "loss": 0.6599,
149
+ "step": 10000
150
+ },
151
+ {
152
+ "epoch": 1.28,
153
+ "grad_norm": 13.312762260437012,
154
+ "learning_rate": 1.72301326518194e-05,
155
+ "loss": 0.6538,
156
+ "step": 10500
157
+ },
158
+ {
159
+ "epoch": 1.34,
160
+ "grad_norm": 8.506616592407227,
161
+ "learning_rate": 1.66216380674212e-05,
162
+ "loss": 0.6591,
163
+ "step": 11000
164
+ },
165
+ {
166
+ "epoch": 1.4,
167
+ "grad_norm": 11.091550827026367,
168
+ "learning_rate": 1.6013143483023003e-05,
169
+ "loss": 0.6634,
170
+ "step": 11500
171
+ },
172
+ {
173
+ "epoch": 1.46,
174
+ "grad_norm": 10.133756637573242,
175
+ "learning_rate": 1.5404648898624802e-05,
176
+ "loss": 0.6748,
177
+ "step": 12000
178
+ },
179
+ {
180
+ "epoch": 1.52,
181
+ "grad_norm": 11.615654945373535,
182
+ "learning_rate": 1.4796154314226602e-05,
183
+ "loss": 0.6759,
184
+ "step": 12500
185
+ },
186
+ {
187
+ "epoch": 1.58,
188
+ "grad_norm": 6.393186092376709,
189
+ "learning_rate": 1.4188876718997202e-05,
190
+ "loss": 0.6475,
191
+ "step": 13000
192
+ },
193
+ {
194
+ "epoch": 1.64,
195
+ "grad_norm": 14.697447776794434,
196
+ "learning_rate": 1.3580382134599002e-05,
197
+ "loss": 0.6493,
198
+ "step": 13500
199
+ },
200
+ {
201
+ "epoch": 1.7,
202
+ "grad_norm": 15.398512840270996,
203
+ "learning_rate": 1.2971887550200803e-05,
204
+ "loss": 0.6444,
205
+ "step": 14000
206
+ },
207
+ {
208
+ "epoch": 1.76,
209
+ "grad_norm": 15.842305183410645,
210
+ "learning_rate": 1.2363392965802603e-05,
211
+ "loss": 0.6396,
212
+ "step": 14500
213
+ },
214
+ {
215
+ "epoch": 1.83,
216
+ "grad_norm": 12.496230125427246,
217
+ "learning_rate": 1.1756115370573203e-05,
218
+ "loss": 0.628,
219
+ "step": 15000
220
+ },
221
+ {
222
+ "epoch": 1.89,
223
+ "grad_norm": 8.957124710083008,
224
+ "learning_rate": 1.1147620786175003e-05,
225
+ "loss": 0.643,
226
+ "step": 15500
227
+ },
228
+ {
229
+ "epoch": 1.95,
230
+ "grad_norm": 9.984686851501465,
231
+ "learning_rate": 1.0539126201776804e-05,
232
+ "loss": 0.612,
233
+ "step": 16000
234
+ },
235
+ {
236
+ "epoch": 2.01,
237
+ "grad_norm": 12.69090747833252,
238
+ "learning_rate": 9.930631617378604e-06,
239
+ "loss": 0.6215,
240
+ "step": 16500
241
+ },
242
+ {
243
+ "epoch": 2.07,
244
+ "grad_norm": 7.916914939880371,
245
+ "learning_rate": 9.323354022149204e-06,
246
+ "loss": 0.4676,
247
+ "step": 17000
248
+ },
249
+ {
250
+ "epoch": 2.13,
251
+ "grad_norm": 13.55048942565918,
252
+ "learning_rate": 8.7160764269198e-06,
253
+ "loss": 0.4779,
254
+ "step": 17500
255
+ },
256
+ {
257
+ "epoch": 2.19,
258
+ "grad_norm": 27.892988204956055,
259
+ "learning_rate": 8.107581842521602e-06,
260
+ "loss": 0.4771,
261
+ "step": 18000
262
+ },
263
+ {
264
+ "epoch": 2.25,
265
+ "grad_norm": 13.891279220581055,
266
+ "learning_rate": 7.499087258123403e-06,
267
+ "loss": 0.4612,
268
+ "step": 18500
269
+ },
270
+ {
271
+ "epoch": 2.31,
272
+ "grad_norm": 19.246742248535156,
273
+ "learning_rate": 6.890592673725204e-06,
274
+ "loss": 0.4852,
275
+ "step": 19000
276
+ },
277
+ {
278
+ "epoch": 2.37,
279
+ "grad_norm": 26.485008239746094,
280
+ "learning_rate": 6.282098089327005e-06,
281
+ "loss": 0.4841,
282
+ "step": 19500
283
+ },
284
+ {
285
+ "epoch": 2.43,
286
+ "grad_norm": 12.629850387573242,
287
+ "learning_rate": 5.673603504928806e-06,
288
+ "loss": 0.4732,
289
+ "step": 20000
290
+ },
291
+ {
292
+ "epoch": 2.49,
293
+ "grad_norm": 21.771028518676758,
294
+ "learning_rate": 5.065108920530608e-06,
295
+ "loss": 0.4841,
296
+ "step": 20500
297
+ },
298
+ {
299
+ "epoch": 2.56,
300
+ "grad_norm": 8.484288215637207,
301
+ "learning_rate": 4.457831325301205e-06,
302
+ "loss": 0.4703,
303
+ "step": 21000
304
+ },
305
+ {
306
+ "epoch": 2.62,
307
+ "grad_norm": 12.666841506958008,
308
+ "learning_rate": 3.849336740903006e-06,
309
+ "loss": 0.4647,
310
+ "step": 21500
311
+ },
312
+ {
313
+ "epoch": 2.68,
314
+ "grad_norm": 6.814643383026123,
315
+ "learning_rate": 3.2408421565048075e-06,
316
+ "loss": 0.4589,
317
+ "step": 22000
318
+ },
319
+ {
320
+ "epoch": 2.74,
321
+ "grad_norm": 10.161438941955566,
322
+ "learning_rate": 2.6323475721066084e-06,
323
+ "loss": 0.4435,
324
+ "step": 22500
325
+ },
326
+ {
327
+ "epoch": 2.8,
328
+ "grad_norm": 17.461462020874023,
329
+ "learning_rate": 2.0250699768772058e-06,
330
+ "loss": 0.4658,
331
+ "step": 23000
332
+ },
333
+ {
334
+ "epoch": 2.86,
335
+ "grad_norm": 6.685905933380127,
336
+ "learning_rate": 1.416575392479007e-06,
337
+ "loss": 0.4635,
338
+ "step": 23500
339
+ },
340
+ {
341
+ "epoch": 2.92,
342
+ "grad_norm": 20.97271156311035,
343
+ "learning_rate": 8.080808080808081e-07,
344
+ "loss": 0.4541,
345
+ "step": 24000
346
+ },
347
+ {
348
+ "epoch": 2.98,
349
+ "grad_norm": 8.495226860046387,
350
+ "learning_rate": 1.9958622368260923e-07,
351
+ "loss": 0.4637,
352
+ "step": 24500
353
+ },
354
+ {
355
+ "epoch": 3.0,
356
+ "step": 24651,
357
+ "total_flos": 3.864867977455206e+16,
358
+ "train_loss": 0.7326071534426255,
359
+ "train_runtime": 12303.0667,
360
+ "train_samples_per_second": 32.057,
361
+ "train_steps_per_second": 2.004
362
+ }
363
+ ],
364
+ "logging_steps": 500,
365
+ "max_steps": 24651,
366
+ "num_input_tokens_seen": 0,
367
+ "num_train_epochs": 3,
368
+ "save_steps": 5000,
369
+ "total_flos": 3.864867977455206e+16,
370
+ "train_batch_size": 8,
371
+ "trial_name": null,
372
+ "trial_params": null
373
+ }